/*
 * SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 * SPDX-License-Identifier: Apache-2.0
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#include "generationOutput.h"

#include "tensorrt_llm/runtime/torch.h"
#include "tensorrt_llm/runtime/torchView.h"

namespace tr = tensorrt_llm::runtime;

using namespace tensorrt_llm::pybind::runtime;

std::shared_ptr<tr::GenerationOutput> GenerationOutput::toTrtLlm() const
{
    auto output
        = std::make_shared<tr::GenerationOutput>(tr::TorchView::of(ids.value()), tr::TorchView::of(lengths.value()));
    if (logProbs)
    {
        output->logProbs = tr::TorchView::of(logProbs.value());
    }
    if (contextLogits)
    {
        output->contextLogits = tr::TorchView::of(contextLogits.value());
    }

    if (onTokenGenerated)
    {
        output->onTokenGenerated = [delegate = onTokenGenerated](
                                       tr::GenerationOutput::TensorPtr const& ids, tr::SizeType step, bool finished)
        { delegate(tr::Torch::tensor(ids), step, finished); };
    }
    return output;
}
